Job offers recommender system based on virtual organizations

Human interaction has changed considerably with the emergence of Internet. Today, a large percentage daily communication takes place on instant messaging applications and social networks. In fact, there been considerable increase in use networks because new are being created for specific purposes, such as search employment or tourism. When amount content network is large, it necessary to help users find their interest. this regard, artificial intelligence techniques can greatly facilitate task searching relevant content. This paper presents recommender system business oriented network, which recommended job offers other user profiles follow. The presented based virtual organizations agents, uses neural determine whether should be not. evaluated real network; its recommendations regarding have had high acceptance rate.